Product overview
The BWSENSING BW-VG320 is a voltage-output inclination sensor for dynamic and static measurement. Its applications include unmanned aircraft, robotics, platform stabilization, marine vessels, construction and agricultural machinery, autonomous driving, and underwater ROV navigation. The sensor combines nonlinearity and orthogonality compensation with gyroscope drift compensation, a dedicated bias-tracking algorithm for drift elimination, and Kalman filtering. Dynamic accuracy is 0.3°, while static accuracy and resolution are each 0.01°. Its measurement range covers pitch angles of ±90º and roll angles of ±180º.
The sensor package measures 103.8 mm long, 55.4 mm wide and 26 mm high. Weight including the cable is 320g; weight including packaging is 400g. Its voltage interface offers selectable 0–5V or 0–10V output configurations. The temperature range extends from -40°C to +85°C. Shock resistance is 2000g with a pulse duration of 0.5ms and three shocks per axis. Mean time between failures is ≥90000 hours. These physical and electrical specifications accompany its dynamic and static inclination measurement capabilities.
Specifications
| Specification | Value & conditions |
|---|---|
| Product type | BW-VG320 voltage-output dynamic inclination sensor |
| Measurement modes | Dynamic and static measurement |
| Dynamic accuracy | 0.3°Dynamic measurement. |
| Static accuracy | 0.01°Static measurement. |
| Resolution | 0.01° |
| Inclination range | Pitch ±90º; roll ±180º |
| Dimensions | L103.8 × W55.4 × H26 mm |
| Weight including cable | 320gIncluding cable. |
| Weight including packaging | 400gIncluding packaging. |
| Mean time between failures | ≥90000 hours |
| Shock resistance | 2000g0.5ms; 3 shocks per axis. |
| Voltage output options | 0–5V or 0–10VSelectable output configuration. |
| Temperature range | -40°C to +85°C |
| Measurement compensation | Nonlinearity compensation and orthogonality compensation |
| Drift compensation | Gyroscope drift compensation and a dedicated bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filtering algorithm |
| Applications | Marine vessels, construction machinery, platform stabilization, agricultural machinery, underwater ROV navigation, autonomous driving, robotics and unmanned aircraft |
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